Adaptive asymptotic tracking control of quadrotor UAVs with error constraints and unknown disturbances.
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| Title: | Adaptive asymptotic tracking control of quadrotor UAVs with error constraints and unknown disturbances. |
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| Authors: | Li, Jiao‐Jiao1 (AUTHOR), Sun, Zong‐Yao1 (AUTHOR) sunzongyao@sohu.com, Ai, Yue1 (AUTHOR), Chen, Chih‐Chiang2 (AUTHOR) |
| Source: | Asian Journal of Control. Sep2026, Vol. 28 Issue 5, p2179-2189. 11p. |
| Subjects: | Tracking control systems, Quadrotor helicopters, Robust control, Asymptotic analysis, Feedback control systems |
| Abstract: | This study focuses on resolving two important issues in quadrotor UAVs tracking control: (i) developing an accurate dynamic model despite unpredictable external disturbances and (ii) ensuring asymptotic convergence of both position and attitude tracking for arbitrary reference trajectories, without violating predefined error bounds. The core challenges involve compensating for unmodeled disturbances and adhering to strict tracking constraints. To address these, a novel adaptive tracking controller is designed by incorporating logarithmic barrier functions and a time‐based exponentially decaying term. Unlike conventional methods, the proposed approach offers not only enhanced robustness against uncertain disturbances, but also a unified control architecture for seamless position and attitude regulation. Numerical simulations confirm the strategy's effectiveness. [ABSTRACT FROM AUTHOR] |
| Copyright of Asian Journal of Control is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 196760131 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Adaptive asymptotic tracking control of quadrotor UAVs with error constraints and unknown disturbances. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Li%2C+Jiao‐Jiao%22">Li, Jiao‐Jiao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sun%2C+Zong‐Yao%22">Sun, Zong‐Yao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> sunzongyao@sohu.com</i><br /><searchLink fieldCode="AR" term="%22Ai%2C+Yue%22">Ai, Yue</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Chih‐Chiang%22">Chen, Chih‐Chiang</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Asian+Journal+of+Control%22">Asian Journal of Control</searchLink>. Sep2026, Vol. 28 Issue 5, p2179-2189. 11p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Tracking+control+systems%22">Tracking control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Quadrotor+helicopters%22">Quadrotor helicopters</searchLink><br /><searchLink fieldCode="DE" term="%22Robust+control%22">Robust control</searchLink><br /><searchLink fieldCode="DE" term="%22Asymptotic+analysis%22">Asymptotic analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Feedback+control+systems%22">Feedback control systems</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This study focuses on resolving two important issues in quadrotor UAVs tracking control: (i) developing an accurate dynamic model despite unpredictable external disturbances and (ii) ensuring asymptotic convergence of both position and attitude tracking for arbitrary reference trajectories, without violating predefined error bounds. The core challenges involve compensating for unmodeled disturbances and adhering to strict tracking constraints. To address these, a novel adaptive tracking controller is designed by incorporating logarithmic barrier functions and a time‐based exponentially decaying term. Unlike conventional methods, the proposed approach offers not only enhanced robustness against uncertain disturbances, but also a unified control architecture for seamless position and attitude regulation. Numerical simulations confirm the strategy's effectiveness. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Asian Journal of Control is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/asjc.3847 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 2179 Subjects: – SubjectFull: Tracking control systems Type: general – SubjectFull: Quadrotor helicopters Type: general – SubjectFull: Robust control Type: general – SubjectFull: Asymptotic analysis Type: general – SubjectFull: Feedback control systems Type: general Titles: – TitleFull: Adaptive asymptotic tracking control of quadrotor UAVs with error constraints and unknown disturbances. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Li, Jiao‐Jiao – PersonEntity: Name: NameFull: Sun, Zong‐Yao – PersonEntity: Name: NameFull: Ai, Yue – PersonEntity: Name: NameFull: Chen, Chih‐Chiang IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 15618625 Numbering: – Type: volume Value: 28 – Type: issue Value: 5 Titles: – TitleFull: Asian Journal of Control Type: main |
| ResultId | 1 |